Ocean color remote sensing without explicit aerosol correction

被引:4
|
作者
Frouin, R [1 ]
Gross-Colzy, L [1 ]
Deschamps, PY [1 ]
机构
[1] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA
来源
关键词
phytoplankton; ocean color; remote sensing; aerosols; atmospheric correction;
D O I
10.1117/12.467310
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
After correction of molecular scattering satellite radiance in the visible and near infrared may be linearly combined to retrieve surface chlorophyll abundance directly without explicit correction of aerosol scattering and absorption. The coefficients minimize the perturbing effects, which are modeled by a polynomial, and do not depend on geometry. The technique is developed for Global Imager (GLI) spectral bands centered at 443, 565, 667, and 866 run, but is applicable to other sets of spectral bands. A wide range of geophysical and angular conditions is considered. Using a polynomial with exponents -2, -1, and 0 to determine the coefficients, the residual influence of the atmosphere on the linear combination is small compared with the corrected satellite radiance, generally within +/-0.001, except at large view and sun angles, where it may reach 0.005 in magnitude. The resulting root mean squared (rms) error on chlorophyll abundance is 8.4%. Application of the method to GLI simulated imagery shows that estimated and actual chlorophyll abundance are in agreement, with an average rms difference of 32.1% and an average bias of -2.2% (slightly lower estimated values). The advantage of the method resides in its simplicity and rapidity of execution. Knowledge of aerosol amount and type is avoided. There is no need for look-up tables of aerosol optical properties. However, accuracy depends on the bio-optical model selected to relate the linear combination to chlorophyll abundance, which may vary depending on water type or biological province.
引用
收藏
页码:133 / 142
页数:10
相关论文
共 50 条
  • [1] Aerosol polarization effects on atmospheric correction and aerosol retrievals in ocean color remote sensing
    Wang, Menghua
    [J]. APPLIED OPTICS, 2006, 45 (35) : 8951 - 8963
  • [2] Atmospheric Correction of Satellite Ocean Color Remote Sensing in the Presence of High Aerosol Loads
    Mao, Zhihua
    Tao, Bangyi
    Chen, Peng
    Chen, Jianyu
    Hao, Zengzhou
    Zhu, Qiankun
    Huang, Haiqing
    [J]. REMOTE SENSING, 2020, 12 (01)
  • [3] Remote Sensing of Atmospheric Aerosol and Ocean Color for the COMS/GOCI
    Lee, Kwon-Ho
    Kim, Young J.
    Kim, Gwan C.
    Wong, Man S.
    Ahn, Yu H.
    [J]. GEOSTATIONARY OCEAN COLOR IMAGER (GOCI) TECHNICAL DEVELOPMENT, OPERATION, AND APPLICATIONS, 2010, 7861
  • [4] Verification of aerosol models for satellite ocean color remote sensing
    Schwindling, M
    Deschamps, PY
    Frouin, R
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1998, 103 (C11): : 24919 - 24935
  • [5] Remote sensing of ocean color and aerosol properties: resolving the issue of aerosol absorption
    Gordon, HR
    Du, T
    Zhang, TM
    [J]. APPLIED OPTICS, 1997, 36 (33): : 8670 - 8684
  • [6] REMOTE SENSING OF OCEAN COLOR
    BAILEY, JS
    WHITE, PG
    [J]. ISA TRANSACTIONS, 1970, 9 (04) : 332 - &
  • [7] Non-supervised classification of aerosol mixtures for ocean color remote sensing
    Gross, L
    Frouin, R
    Pietras, C
    Fargion, G
    [J]. OCEAN REMOTE SENSING AND APPLICATIONS, 2003, 4892 : 95 - 104
  • [8] Decoupling error for the atmospheric correction in ocean color remote sensing algorithms
    Zhai, Peng-Wang
    Hu, Yongxiang
    Trepte, Charles R.
    Lucker, Patricia L.
    Josset, Damien B.
    [J]. JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2010, 111 (12-13): : 1958 - 1963
  • [9] Effects of Earth curvature on atmospheric correction for ocean color remote sensing
    He, Xianqiang
    Stamnes, Knut
    Bai, Yan
    Li, Wei
    Wang, Difeng
    [J]. REMOTE SENSING OF ENVIRONMENT, 2018, 209 : 118 - 133
  • [10] REMOTE-SENSING OF OCEAN COLOR
    HOVIS, WA
    LEUNG, KC
    [J]. OPTICAL ENGINEERING, 1977, 16 (02) : 158 - 166